fit.parallel: Universal fit function (Parallel)

In software-analytics/Rnalytica: An R package of JIRA defect datasets and tool suites for explainable software analytics

Description

Universal fit function (Parallel)

Usage

fit.parallel(data, dep, indep, classifier = "lr",
  classifier.params = list(rf.ntree = 100, rf.mtry = NULL, c5.0.trials =
  40, c5.0.rules = TRUE, c5.0.winnow = FALSE, nb.fL = 0, nb.adjust = 1,
  svm.gamma = NULL, svm.cost = 1), params.tuning = FALSE,
  normalize = "no", rebalance = "no", validation = "boot",
  validation.params = list(cv.k = 10, boot.n = 100),
  prob.threshold = 0.5, repeats = 1, n.cores = 2)

Arguments

data	a dataframe for input data
dep	a character for dependent variable
indep	a vector of characters for independent variables
classifier	a character for classifier techniques, i.e., lr, rf, c5.0, nb, and svm
classifier.params	a list of parameters for an input classifier technique
params.tuning	a boolean indicates whether to perform parameters tuning
normalize	a character for normalization techniques, i.e., log, scale, center, standardize, and no for non-normalization#'
rebalance	a character for a choice of data sampling techniques, i.e., up for upsampling, down for downsampling, and no for no-sampling (default: "NO")
validation	a character for a choice of validation techniques, i.e., boot for bootstrap validation technique, cv for cross-validation technique, and no for constructing a model with the whole dataset without model validation (default: "boot")
validation.params	a list of parameters for an input validation techniques (default: list(cv.k = 10, boot.n = 100))
prob.threshold	a numeric for probability threshold (default: 0.5)
repeats	a numeric for number of repetitions (default: 1)
n.cores	a numeric for number of cores (default: 2)

software-analytics/Rnalytica documentation built on Aug. 16, 2020, 9:38 p.m.